Applying a linguistic multi-criteria decision-making model to the analysis of ICT suppliers’ offers

Cid-López, Andrés; Hornos, Miguel J.; Carrasco, R.A.; Herrera‐Viedma, Enrique

doi:10.1016/j.eswa.2016.03.025

Cited by 44 publications

(17 citation statements)

References 71 publications

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“…Recently, many different MCDM methods are used to solve the supplier selection problem. For example, the best worst method (Rezaei et al, 2016), linguistic MCDM method (Cid-Lopez et al, 2016), fuzzy EDAS , TOPSIS-MMD (Aouadni et al, 2017), intuitionistic VIKOR (Zhao et al, 2017), fuzzy Rasch based COPRAS-G (Chatterjee & Kar, 2018) and neutrosophic DEMATEL (Abdel-Basset et al, 2018). The green supplier selection problem takes into account also environmental factors, unlike the common supplier selection problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Ulutaş

2019

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Supply chain management determining the competitive position of corporations in a rival and fast-changing environment is one of the favourite topics in engineering economics. Since the performance of suppliers affects the performance of the whole supply chain, the selection of a supplier is a significant problem in supply chain management. When solving a supplier selection problem, there are many criteria needed to be considered. Therefore, the supplier selection problem is a multi-criteria decision making (MCDM) problem. In the supplier selection process, most of the time, expert data is involved, and the judgement of experts includes ambiguous, imprecise and uncertain data. Thus, there are many methods to solve supplier selection issues by utilising fuzzy set theory, grey theory and rough theory to handle vagueness of a problem. This study also proposes a fuzzy model to solve this problem. In this study, an integrated fuzzy MCDM model including the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Operational Competitiveness RAting (Fuzzy OCRA) will be proposed to solve supplier selection problem for a Turkish textile company. The FAHP is utilised to determine the weights of considered eight criteria and the fuzzy OCRA is used to rank five fabric suppliers concerning their performances on eight measures. This study is original and it contributes to the literature in two ways: first, this study proposes a fuzzy extension of the OCRA method and second, this study offers a new integrated fuzzy MCDM model consisting of the FAHP and the Fuzzy OCRA. By using a real case study of supplier selection problem, it is attempted to indicate the applicability of the new integrated fuzzy MCDM model for actual circumstances.

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Section: Literature Reviewmentioning

confidence: 99%

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Ulutaş

2019

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“…In the ordinal fuzzy linguistic approach, linguistic variables take values from an ordered set of linguistic labels . This approach is suitable in many contexts . Nevertheless, an important drawback of the ordinal fuzzy linguistic approach is the loss of information when the problem requires to aggregate linguistic variables, making this approach inappropriate in some scenarios .…”

Section: Introductionmentioning

confidence: 99%

Modeling agent‐based consumers decision‐making with 2‐tuple fuzzy linguistic perceptions

et al. 2019

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Understanding consumer behaviors and how consumers react to marketing campaigns and viral word-of-mouth processes is crucial for marketers. Classical approaches try to infer this information from a global top-down perspective. However, a more suitable and natural approach is to model consumer behaviors in a heterogeneous and decentralized bottom-up approach. In this case, each virtual consumer has her own mental state and decision-making strategies to simulate her purchase decisions. The system of virtual consumers generates the global sales and a marketer can understand the rules that govern the market. A well-known paradigm to model these systems is agent-based modeling (ABM). In this manuscript we present an ABM where the brand preferences of the consumer agents are modeled using 2-tuple fuzzy linguistic variables. These variables represent the perceptions these consumers have on the different aspects or drivers every product available in the market has (e.g., price or quality). The product selection process of the agents is based on those perceptions and a utility maximization rule. This rule requires a fuzzy aggregation of the fuzzy linguistic perceptions about the products. Our proposal employs an ordered weighted average (OWA) to aggregate them. Our experiments | 297

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“…The last step consists of finding the best alternative among a set of feasible alternatives by transforming the evaluation matrix into a score using approaches that are specific to the different MCDA methods, such as AHP and TOPSIS. According to the literature, there are a large number of MCDA methods available [26,29,30]. Table 2 presents a summary of some of the most popular examples of them.…”

Section: Fundamental Questions Of Offloading Process Descriptionmentioning

confidence: 99%

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

Bangui

Bühnová

et al. 2017

JSAN

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Abstract:Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to augment local resources of mobile devices, such as energy, computing, and storage, by using available cloud services and functionalities. The offloading process is one of the techniques used in MCC to enhance the capabilities of mobile devices by moving mobile data and computation-intensive operations to cloud platforms. Several techniques have been proposed to perform and improve the efficiency and effectiveness of the offloading process, such as multi-criteria decision analysis (MCDA). MCDA is a well-known concept that aims to select the best solution among several alternatives by evaluating multiple conflicting criteria, explicitly in decision making. However, as there are a variety of platforms and technologies in mobile cloud computing, it is still challenging for the offloading process to reach a satisfactory quality of service from the perspective of customers' computational service requests. Thus, in this paper, we conduct a literature review that leads to a better understanding of the usability of the MCDA methods in the offloading operation that is strongly reliant on the mobile environment, network operators, and cloud services. Furthermore, we discuss the challenges and opportunities of these MCDA techniques for offloading research in mobile cloud computing. Finally, we recommend a set of future research directions in MCDA used for the mobile cloud offloading process.

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Applying a linguistic multi-criteria decision-making model to the analysis of ICT suppliers’ offers

Cited by 44 publications

References 71 publications

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Modeling agent‐based consumers decision‐making with 2‐tuple fuzzy linguistic perceptions

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

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